Effects of Response to 2014-2015 Ebola Outbreak on Deaths from Malaria, HIV/AIDS, and Tuberculosis, West Africa
- PMID: 26886846
- PMCID: PMC4766886
- DOI: 10.3201/eid2203.150977
Effects of Response to 2014-2015 Ebola Outbreak on Deaths from Malaria, HIV/AIDS, and Tuberculosis, West Africa
Abstract
Response to the 2014-2015 Ebola outbreak in West Africa overwhelmed the healthcare systems of Guinea, Liberia, and Sierra Leone, reducing access to health services for diagnosis and treatment for the major diseases that are endemic to the region: malaria, HIV/AIDS, and tuberculosis. To estimate the repercussions of the Ebola outbreak on the populations at risk for these diseases, we developed computational models for disease transmission and infection progression. We estimated that a 50% reduction in access to healthcare services during the Ebola outbreak exacerbated malaria, HIV/AIDS, and tuberculosis mortality rates by additional death counts of 6,269 (2,564-12,407) in Guinea; 1,535 (522-2,8780) in Liberia; and 2,819 (844-4,844) in Sierra Leone. The 2014-2015 Ebola outbreak was catastrophic in these countries, and its indirect impact of increasing the mortality rates of other diseases was also substantial.
Keywords: Ebola virus; HIV/AIDS and other retroviruses; healthcare; malaria; mathematical model; mortality rate; mycobacteria; parasites; parasitic; tuberculosis and other mycobacteria; vector-borne infections; viruses; zoonoses.
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Comment in
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Zika response must not drain research funds.Nature. 2016 Sep 1;537(7618):7. doi: 10.1038/537007a. Nature. 2016. PMID: 27582188 No abstract available.
References
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- United Nations Development Programme. Assessing the socio-economic impacts of Ebola Virus Disease in Guinea, Liberia and Sierra Leone: The Road to Recovery. Addis Ababa, Ethiopia: The Programme; 2014.
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- Walker PGT, White MT, Griffin JT, Reynolds A, Ferguson NM, Ghani AC. Malaria morbidity and mortality in Ebola-affected countries caused by decreased health-care capacity, and the potential effect of mitigation strategies: a modelling analysis. Lancet Infect Dis. 2015;15:825–32 . 10.1016/S1473-3099(15)70124-6 - DOI - PMC - PubMed
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